| Literature DB >> 34658623 |
Abstract
BACKGROUND: Understanding of healthcare utilisation during foodborne illness is vital for public health practice, and healthcare planning. Present study aims to identify patterns and determinants of healthcare-seeking behaviour in response to foodborne illness among students of Saudi Arabia.Entities:
Keywords: Food poisoning; Saudi Arabia; foodborne illness; health seeking behaviour; knowledge
Year: 2021 PMID: 34658623 PMCID: PMC8511923 DOI: 10.1177/11786302211050761
Source DB: PubMed Journal: Environ Health Insights ISSN: 1178-6302
Demographic characteristic of the study participants (N = 252).
| Characteristics | n (%) |
|---|---|
| Age | |
| Above 30 | 70 (27.8) |
| 30-26 | 68 (27.0) |
| 25-20 | 60 (23.8) |
| <20 | 54 (21.4) |
| Gender | |
| Male | 130 (51.6) |
| Female | 122 (48.4) |
| Educational level | |
| Master | 10 (4.0) |
| Bachelor | 193 (76.6) |
| Preparatory year | 49 (19.4) |
| Field of study | |
| Health sciences | 145 (57.5) |
| Computer sciences | 20 (7.9) |
| Administration and business | 33 (13.1) |
| Languages and theoretical studies | 36 (14.3) |
| Others | 18 (7.2) |
| Place of resident (city) | |
| Riyadh | 78 (30.9) |
| Abha | 77 (30.6) |
| Dammam | 57 (22.6) |
| Jeddah | 40 (15.9) |
Association between demographic factors with students’ practice towards foodborne illness (N = 252).
| Demographic factors | Students’ response towards
foodborne illness practice
| |||
|---|---|---|---|---|
| Visit to doctor n = 176 (69.8%) | Visit to pharmacy n = 19 (7.5%) | Treated by family/peers n = 23 (9.1%) | Didn’t do anything n = 34 (13.5%) | |
| Age | ||||
| Above 30 | 44 (25.0) | 10 (52.6) | 6 (26.1) | 10 (29.4) |
| 30-26 | 50 (28.4) | 6 (31.6) | 4 (17.4) | 8 (23.5) |
| 25-20 | 41 (23.3) | 2 (10.5) | 7 (30.4) | 10 (29.4) |
| <20 | 41 (23.3) | 1 (5.3) | 6 (26.1) | 6 (17.7) |
| Gender | ||||
| Male | 92 (52.3) | 15 (78.9) | 3 (13.0) | 20 (58.8) |
| Female | 84 (47.7) | 4 (21.1) | 20 (87.0) | 14 (41.2) |
| Educational level | ||||
| Master | 8 (4.5) | 1 (5.2) | 0 (0.0) | 1 (02.9) |
| Bachelor | 136 (77.3) | 12 (63.2) | 21 (91.3) | 24 (70.6) |
| Preparatory year | 32 (18.2) | 6 (31.6) | 2 (8.7) | 9 (26.5) |
| Field of study | ||||
| Health sciences | 104 (59.1) | 9 (47.4) | 16 (69.6) | 16 (47.1) |
| Computer sciences | 14 (7.9) | 1 (5.3) | 1 (4.3) | 4 (11.8) |
| Administration and business | 25 (14.2) | 2 (10.5) | 1 (4.3) | 5 (14.7) |
| Languages and theoretical studies | 23 (13.1) | 3 (15.8) | 4 (17.4) | 6 (17.6) |
| Others | 10 (5.7) | 4 (21.0) | 1 (4.4) | 3 (8.8) |
| Place of residence (city) | ||||
| Riyadh | 46 (26.1) | 0 (0.0) | 6 (26.1) | 5 (14.7) |
| Abha | 55 (31.3) | 11 (57.9) | 1 (4.3) | 10 (29.4) |
| Dammam | 48 (27.3) | 6 (31.6) | 12 (52.2) | 12 (35.3) |
| Jeddah | 27 (15.3) | 2 (10.5) | 4 (17.4) | 7 (20.6) |
Students response to the question ‘what did they do when they experienced a foodborne illness’.
Association between knowledge, and attitude with students’ practice towards foodborne illness among students (N = 252).
| Factors | Students response towards foodborne
illness practice
| ||||
|---|---|---|---|---|---|
| Visit to doctor n = 176 | Visit to pharmacy n = 19 | Treated by family/peers n = 23 | Didn’t do anything n = 34 | ||
| Know the causes of food poisoning (n = 221) | 164 (93.2) | 18 (94.8) | 19 (82.6) | 20 (58.8) | .043 |
| Differentiate between food infection and food intoxication (n = 115) | 89 (50.6) | 8 (42.1) | 7 (30.4) | 11 (32.3) | .094 |
| Strongly believe that food poisoning illnesses is a serious health problem and may lead to death (n = 204) | 165 (93.7) | 16 (84.2) | 17 (73.9) | 10 (29.4) | .032 |
| Strongly believe that medication without prescription for food poisoning may negatively affect the health of the individual (n = 204) | 159 (90.4) | 14 (73.7) | 17 (73.9) | 14 (41.2) | .051 |
Students response to the question ‘what did they do when they experienced a foodborne illness’.
Statistically significant (P < .05).
Bivariable and multivariable logistic regression analysis of factors associated with students’ better practice towards responding foodborne illness (N = 252).
| Factors | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|
| Knew the causes of food poisoning | 2.14 (1.14-4.00) | 1.98 (1.04-3.78) | .036 |
| Differentiate between food infection and food intoxication | 2.09 (0.93-4.67) | 2.16 (0.95-4.91) | .065 |
| Believed that food poisoning illnesses is a serious health problem and may lead to death | 3.61 (0.33-1.71) | 2.15 (1.33-2.71) | .014 |
| Believed that medication without prescription for food poisoning may negatively affect the health of the individual | 1.17 (0.56-2.38) | 1.12 (0.52-2.38) | .766 |
Independent variables for the Multiple Logistic Regression model analysis include age, gender, education, field of study and place of residence.
Students visit to doctor when experienced foodborne illness.
Statistically significant (P < .05).